Article

iRAT: Improved Retrieval-Augmented Thinking for Context-Aware Replanning-Based Reasoning

2025-07-16

Abstract excerpt

Large Language Models (LLMs) have demonstrated significant capabilities in answering questions using techniques such as Chain of Thought (CoT) and Retrieval-Augmented Generation (RAG). CoT enables step-by-step reasoning to improve accuracy, while RAG supplements LLMs with relevant external information. Retrieval-Augmented Thoughts (RAT) combines CoT and RAG to provide a more robust factual foundation and coherence...

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Literature Corpus work: a3f76e4f-bfd8-542f-a5b4-2eb6ee9fa1b1
DOI: 10.20944/preprints202507.1289.v1

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